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$102.5K

$114.5K

$128K

How much do remote car tuning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote car tuning in the United States is $114,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $121,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Car Tuning professionals and how are they addressed?

Remote Car Tuning professionals often encounter challenges such as dealing with diverse vehicle models, varying client technical abilities, and occasional connectivity issues during remote diagnostics. Successful technicians address these by continuously updating their knowledge of the latest automotive technologies, maintaining clear step-by-step communication with clients, and utilizing reliable remote access and tuning software. Teamwork may also be required when collaborating with local mechanics or customer support staff to resolve complex issues. By developing strong troubleshooting skills and adapting to each client’s unique situation, remote tuners can deliver consistent, high-quality results and build trust with their clientele.

What are the key skills and qualifications needed to thrive in the Remote Car Tuning position, and why are they important?

To excel in Remote Car Tuning, a strong background in automotive engineering, electronic diagnostics, and ECU programming—often supported by relevant certifications or technical training—is essential. Familiarity with car tuning software platforms, remote diagnostics tools, and automotive data logging systems is necessary for diagnosing and optimizing vehicle performance. Excellent problem-solving skills, clear communication, and attention to detail help technicians deliver effective remote support to clients and coordinate with onsite service providers. These competencies ensure accurate, safe, and efficient tuning services that meet customer expectations and comply with industry standards.

What is a Remote Car Tuning job?

A Remote Car Tuning job involves adjusting a vehicle’s engine and performance settings using specialized software without being physically present with the car. Tuners analyze data logs, modify ECU parameters, and send updated calibrations to optimize power, fuel efficiency, or drivability. This process is typically done via email or remote access tools, allowing tuners to work with clients worldwide. It requires expertise in engine management systems, tuning software, and troubleshooting techniques.

More about Remote Car Tuning jobs
What cities are hiring for Remote Car Tuning jobs? Cities with the most Remote Car Tuning job openings:
What are the most commonly searched types of Car Tuning jobs? The most popular types of Car Tuning jobs are:
What states have the most Remote Car Tuning jobs? States with the most job openings for Remote Car Tuning jobs include:
What job categories do people searching Remote Car Tuning jobs look for? The top searched job categories for Remote Car Tuning jobs are:
Remote Car Tuning jobs near you
Infographic showing various Remote Car Tuning job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $114,504 per year, or $55 per hour.
Staff TLM, Perception, Fine-Tuning & Model Releases

Staff TLM, Perception, Fine-Tuning & Model Releases

Waymo

San Francisco, CA • On-site, Remote

$238K - $302K/yr

Other

Posted 18 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

In this hybrid role you will report to a Sr Staff Technical Lead Manager.

You will:

  • Lead the multi-task fine-tuning of multi-billion parameter models, and its release to production
  • Lead the design and implementation of ML methods for distilling multiple expert models into one multi-task model
  • Managed releases of multi-billion parameter models replacing a deployed model used by thousands or millions of customers
  • Build resilient and high performing teams through people development and hiring,
  • Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution
  • Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects

You have:

  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 5+ years experience in Machine Learning and/or Computer Vision
  • 2+ year in managing ML engineering or research teams
  • Experience with Python
  • Experience with ML frameworks like PyTorch or JAX

We Prefer:

  • MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience with C++
  • Experience with real-time system design

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$238,000—$302,000 USD

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